PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments

rosettR: protocol and software for seedling area and growth analysis

(2017) Filipa Tomé et al.   Plant Methods

High-throughput phenotyping of lateral expansion and regrowth of spaced Lolium perenne plants using on-field image analysis

(2016) Peter Lootens et al.   Plant Methods

On-the-go Phenotyping in Field Potatoes Using Camera Vision

(2016) Karl-Heinz Dammer et al.   POTATO RESEARCH

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

(2015) Noah Fahlgren et al.   CURRENT OPINION IN PLANT BIOLOGY

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

(2015) Massimo Minervini et al.   IEEE SIGNAL PROCESSING MAGAZINE

Advanced phenotyping and phenotype data analysis for the study of plant growth and development

(2015) Md. Matiur Rahaman et al.   Frontiers in Plant Science

Phenotyping and beyond: modelling the relationships between traits

(2014) Christine Granier et al.   CURRENT OPINION IN PLANT BIOLOGY

Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area

(2014) Hsien Ming Easlon et al.   Applications in Plant Sciences

Image analysis is driving a renaissance in growth measurement

(2013) Edgar P Spalding et al.   CURRENT OPINION IN PLANT BIOLOGY

Image-based plant phenotyping with incremental learning and active contours

(2013) Massimo Minervini et al.   Ecological Informatics

High-throughput phenotyping early plant vigour of winter wheat

(2013) Sebastian Kipp et al.   EUROPEAN JOURNAL OF AGRONOMY

Black Spot: a platform for automated and rapid estimation of leaf area from scanned images

(2013) Varun Varma et al.   PLANT ECOLOGY

Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis

(2012) Christoph Römer et al.   FUNCTIONAL PLANT BIOLOGY

PhenoPhyte: a flexible affordable method to quantify 2D phenotypes from imagery

(2012) Jason M Green et al.   Plant Methods

Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects

(2012) J. De Vylder et al.   PLANT PHYSIOLOGY

Development of spectral indices for detecting and identifying plant diseases

(2012) A.-K. Mahlein et al.   REMOTE SENSING OF ENVIRONMENT

NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

(2011) L. Cabrera-Bosquet et al.   CEREAL RESEARCH COMMUNICATIONS

A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects

(2011) Samuel Arvidsson et al.   NEW PHYTOLOGIST

Accurate inference of shoot biomass from high-throughput images of cereal plants

(2011) Mahmood R Golzarian et al.   Plant Methods

Automated analysis of hypocotyl growth dynamics during shade avoidance in Arabidopsis

(2010) Benjamin Cole et al.   PLANT JOURNAL

Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance inArabidopsis thalianaand other rosette plants

(2009) Marcus Jansen et al.   FUNCTIONAL PLANT BIOLOGY

Classification of plant leaf images with complicated background

(2008) Xiao-Feng Wang et al.   APPLIED MATHEMATICS AND COMPUTATION

LAMINA: a tool for rapid quantification of leaf size and shape parameters

(2008) Max Bylesjö et al.   BMC PLANT BIOLOGY

Estimating N status of winter wheat using a handheld spectrometer in the North China Plain

(2007) Fei Li et al.   FIELD CROPS RESEARCH